Evidence map›Paper›PMID 38468974›Full record

ArticleHeliyon2024

Noninvasive wearable sensor for the continuous monitoring of human sound and movement signals in real-time.

Eun Ae Choi, Jeong Chan Lee, Mi Yu, Hyo Sung Kwak, Bishnu Kumar Shrestha, Chan Hee Park, Cheol Sang Kim

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 98% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Eun Ae ChoiInnovative Mechanobio Active Materials Based Medical Device Demonstration Center, Jeonbuk National University, Jeonju, Republic of Korea.
Jeong Chan LeeDepartment of Bionanotechnology and Bioconvergence Engineering, Graduate School, Jeonbuk National University, Jeonju, Republic of Korea.
Mi YuDivision of Biomedical Engineering, College of Engineering, Jeonbuk National University Republic of Korea.
Hyo Sung KwakResearch Institute of Clinical Medicine of Jeonbuk National University Biomedical Research Institute of Jeonbuk National University Hospital Republic of Korea.
Bishnu Kumar ShresthaDepartment of Bionanosystem Engineering, Graduate School, Jeonbuk National University, Jeonju, Republic of Korea.
Chan Hee ParkInnovative Mechanobio Active Materials Based Medical Device Demonstration Center, Jeonbuk National University, Jeonju, Republic of Korea.
Cheol Sang KimDepartment of Bionanosystem Engineering, Graduate School, Jeonbuk National University, Jeonju, Republic of Korea.
Jeonbuk National University · KRJeonbuk National University Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recently, with the development of non-invasive human health monitoring technology including wearable devices, a flexible sensor that monitors 'human sound and movement signals' such as human voice and muscle movement is attracting attention. In this experiment, electrospun nanofibers were mixed with highly conductive nanoparticles and coated with polyaniline to detect the patient's electrical signals. Due to the high piezoelectric effect, nanofiber-based sensors do not require charging through a separate battery, so they can be used as self-powered devices. In addition, the LCR meter test confirmed that the sensor has a high capacitance due to its high conductivity and high sensitivity to electrical signals. The sensor produced in this study can visually estimate the electrical signal of the actual human body through real-time comparison with electromyography (EMG) measuring equipment, and it was confirmed that the error is small. This sensor is expected to be widely used in the medical field, from simple sound and movement signals to disease monitoring.

Indexed as

Bio-sensorElectrospinningPeizo-electricPolyaniline

Identifiers

PMID38468974
PMCPMC10925980
OpenAlexW4391721000

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.